SOCI 332 - Cross Tabulation
TOPIC: Does spanking your child lead to mental health problems in their life?
This week's main Discussion requires you to answer the question completely and correctly to receive full credit.
This week we talk about the uses of a crosstabulation (crosstabs) and the benefits of creating this "snapshot" of your data.
For this forum, provide a brief introduction to your study to remind your classmates what we are reading about here. Include:
1. Your overall research question
2. The research hypothesis and null hypothesis
Next, create a crosstab for your data and include it in the post. Be sure to explain your findings, including a description of the data, a calculation of the epsilons, and a discussion of the 10% rule. The epsilons in short are the differences between the highest and lowest column % in any given row. As long as one epsilon makes the 10% threshold, we'll deem two variables have "enough" going on to with each other to warrant further statistical analysis.
Special note:
When a variable is continuous (interval/ratio level of measurement), for example, age of respondent, we do not run crosstabs directly b/c it will result in a really spread-out table with lot of 0s and low frequency cells. Such a crosstab does not help us understand the data.
The correct way is to reduce the level of measurement to either ordinal level or nominal level (group the numbers into categories) and then run the cross table.
Cross Tabulation
Your Name
Subject and Section
Professor’s Name
June 1, 2021
Understanding the importance of using a crosstabulation in SPSS is crucial for analyzing one’s datasheet. It allows for a better insight into the data that the researcher has in hand and how this data can be compared to other variables that are to be found within the same. Accordingly, this article would focus on the crosstabulation between two variables, namely Educational Attainment (EducAttainment) and Marital Status (MaritalStatus). This would include the different kinds of hypotheses and variables that are used in the said dataset.
In line with this week’s topic, the author has created a crosstabulation between the two variables that are used. The result for such could be seen in the table below.
Figure 1. Cross Tabulation
Marital Status * Educational Attainment Crosstabulation
Count
Educational Attainment
Total
Divorced
Married, spouse absent, not separated
Married, spouse present
Never married
Separated
Widowed
Marital Status
Below Highschool
15
16
14
11
12
14
82
High school graduate
17
11
17
21
14
11
91
Some college, no degree
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